Health Care
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Using administrative data on over 4 million hospital visits, we document striking gender disparities within a government health insurance program that entitles 46 million poor individuals to free hospital care in Rajasthan, India. Females account for only 33% of hospital visits among children and 43% among the elderly. These shares are lower for more expensive types of care, and far lower than sex differences in illness prevalence can explain. Almost two-thirds of non-childbirth spending is on males. We combine these data with patient survey, census, and electoral data to show that 1) the program is unable to fully offset the costs of care-seeking, which results in disparities in hospital utilization because some households are willing to allocate more resources to male than female health; 2) lowering costs does not reduce disparities, because males benefit as much as females do; and 3) long-term exposure to village-level female leaders reduces the gender gap in utilization, but effects are modest and limited to girls and young women. In the presence of gender bias, increasing access to and subsidizing social services may increase levels of female utilization but fail to address gender inequalities without actions that specifically target females.

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Publication Type
Working Papers
Publication Date
Subtitle
Gender Disparities in Utilization of Government Health Insurance in India
Journal Publisher
National Bureau of Economic Research
Authors
Number
Working Paper 28972
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China’s national health reforms over the past two decades have brought the system closer to the modern, safe, reliable, and accessible health system that is commensurate with China’s dramatic economic growth, improvement in living standards, and high hopes for the next generation.

China’s national health reforms of 2009—continuing many reforms undertaken since SARS (2003)—consolidated a system of social health insurance covering the entire population for basic health services, contributing to a surge in healthcare utilization while reducing out-of-pocket costs to patients – which declined from 56% to 28% of total health expenditures between 2003 and 2017. An expanded basic public health service package, funded by per capita government budget allocations that include a higher central government subsidy for lower-income provinces, provides basic population health services to all Chinese. Now the governance structure consolidates the purchaser role for social health insurance schemes under the National Healthcare Security Administration, with most other health sector functions under the National Health Commission. China’s world-leading technological prowess in multiple fields spanning digital commerce to artificial intelligence—and accompanying innovative business models such as WeDoctor that have not yet been fully integrated into the health system—hold promise for supporting higher quality and more convenient healthcare for China’s 1.4 billion.

However, many challenges remain, from dealing with COVID-19 and its aftermath to other lingering challenges, from promoting healthy aging to the political economy of addressing patient-provider tensions, changing provider payment to promote “value” rather than volume, and deciding which new medical therapies qualify as “basic” for the basic medical insurance schemes. To make China’s investments in universal health coverage and the accompanying rapid medical spending growth sustainable in the longer run, policies need to help the most vulnerable avoid illness-induced poverty, increase health system efficiency, strengthen primary care, and reform provider payment systems.

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Publication Type
Testimonies
Publication Date
Subtitle
Testimony before the U.S.-China Economic and Security Review Commission
Authors
Karen Eggleston
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Background

In an effort to provide greater financial protection from the risk of large medical expenditures, China has gradually added catastrophic medical insurance (CMI) to the various basic insurance schemes. Tongxiang, a rural county in Zhejiang province, China, has had CMI since 2000 for their employee insurance scheme, and since 2014 for their resident insurance scheme.

Methods

Compiling and analyzing patient-level panel data over five years, we use a difference-in-difference approach to study the effect of the 2014 introduction of CMI for resident insurance beneficiaries in Tongxiang. In our study design, resident insurance beneficiaries are the treatment group, while employee insurance beneficiaries are the control group.

Findings

We find that the availability of CMI significantly increases medical expenditures among resident insurance beneficiaries, including for both inpatient and outpatient spending. Despite the greater financial protection, out-of-pocket expenditures increased, in part because patients accessed treatment more often at higher-level hospitals.

Interpretation

Better financial coverage for catastrophic medical expenditures led to greater access and expenditures, not only for inpatient admissions—the category that most often leads to catastrophic expenditures—but for outpatient visits as well. These patterns of expenditure change with CMI may reflect both enhanced access to a patient's preferred site of care as well as the influence of incentives encouraging more care under fee-for-service payment.

This study is part of Karen Eggleston's research project Addressing Health Disparities in China

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Journal Articles
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Journal Publisher
The Lancet Regional Health - Western Pacific
Authors
Karen Eggleston
Authors
Noa Ronkin
News Type
News
Date
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Does the new wave of digital technologies portend a future in which robots and automation increasingly replace workers and destroy livelihoods? In one of the first studies of service sector robots, APARC experts find evidence to offset dystopian predictions of robot job replacement.

The researchers — Asia Health Policy Program Director Karen Eggleston, SK Center Fellow Yong Suk Lee, and University of Tokyo health economist Toshiaki Iizuka, our former visiting scholar — set out to examine how robots affect labor, productivity, and quality of care in Japan’s nursing homes. Their findings indicate that robot adoption may not be detrimental to labor and may help address the challenges of rapidly aging societies.

Eggleston recently joined the Future Health podcast, an initiative of the New South Wales Ministry of Health, to discuss the study and its implications. The program is available both as a video and audio podcast. Watch and listen below:

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Published by the National Bureau of Economic Research, the study suggests that robot adoption has increased employment opportunities for non-regular care workers, helped mitigate the turnover problem that plagues nursing homes, and provided greater flexibility for workers. It is also published in AHPP's working paper series and is part of a broader research project by Eggleston, Lee, and Iizuka, that explores the impact of robots on nursing home care in Japan and the implications of robotic technologies adoption in aging societies.

The study has attracted media attention. The Financial Times Magazine, in a feature story and podcast, called it “groundbreaking in several ways but perhaps most clearly for setting its sights not on manufacturing but on the services sector, where robots are only just beginning to make their mark.” The Freakonomics Radio podcast also hosted Eggleston and Lee for a conversation about their research as part of an episode on collaborative robots and the future of work.

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On the Freakonomics Radio podcast, Karen Eggleston and Yong Suk Lee discuss their research into the effects of robots on staffing in Japanese nursing homes.
The Unfolding Relationship Between Human Workers and Robots in an Aging World
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Robot Adoption Brings Benefits to Japan’s Aging Society

In one of the first studies of service sector robotics, APARC scholars examine the impacts of robots on nursing homes in Japan. They find that robot adoption may not be detrimental to labor and may help address the challenges of rapidly aging societies.
Robot Adoption Brings Benefits to Japan’s Aging Society
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Logo of the New South Wales Ministry of Health's podcast Future Health
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On the Future Health podcast, Karen Eggleston discusses the findings and implications of her collaborative research into the effects of robot adoption on staffing in Japanese nursing homes.

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This paper describes the qualitative results of the mixed-methods study by Eggleston and her colleagues. For the quantitative results of the study, read the April 2021 paper in the journal BMC Public Health. Also, watch and read our full story and interview with Eggleston.

Objective

People with chronic conditions are known to be vulnerable to the COVID-19 pandemic. This study aims to describe patients’ lived experiences, challenges faced by people with chronic conditions, their coping strategies, and the social and economic impacts of the COVID-19 pandemic.
 

Design, Setting, and participants

We conducted a qualitative study using a syndemic framework to understand the patients’ experiences of chronic disease care, challenges faced during the lockdown, their coping strategies and mitigators during the COVID-19 pandemic in the context of socioecological and biological factors. A diverse sample of 41 participants with chronic conditions (hypertension, diabetes, stroke, and cardiovascular diseases) from four sites (Delhi, Haryana, Vizag, and Chennai) in India participated in semistructured interviews. All interviews were audio-recorded, transcribed, translated, anonymized and coded using MAXQDA software. We used the framework method to qualitatively analyze the COVID-19 pandemic impacts on health, social and economic well-being.
 

Results

Participant experiences during the COVID-19 pandemic were categorized into four themes: challenges faced during the lockdown, experiences of the participants diagnosed with COVID-19, preventive measures taken, and lessons learned during the COVID-19 pandemic. A subgroup of participants faced difficulties in accessing healthcare while a few reported using teleconsultations. Most participants reported the adverse economic impact of the pandemic which led to higher reporting of anxiety and stress. Participants who tested COVID-19 positive reported experiencing discrimination and stigma from neighbors. All participants reported taking essential preventive measures.
 

Conclusion

People with chronic conditions experienced a confluence (reciprocal effect) of COVID-19 pandemic and chronic diseases in the context of difficulty in accessing healthcare, sedentary lifestyle, and increased stress and anxiety. Patients’ lived experiences during the pandemic provide important insights to inform effective transition to a mixed realm of online consultations and ‘distanced’ physical clinic visits.

 

Karen Eggleston 4X4

Karen Eggleston, PhD

Senior Fellow at FSI, Director of the Asia Health Policy Program at Shorenstein Asia-Pacific Research Center
Full Biography
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Publication Type
Journal Articles
Publication Date
Subtitle
A Qualitative Study
Journal Publisher
BMJ Open
Authors
Karen Eggleston
Number
2021;11:e048926
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CDDRL Postdoctoral Scholar, 2021-22
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I am a political scientist (PhD degree expected in July 2021 from Harvard) working on political parties, social welfare policies and local governance, primarily in the Middle East and North Africa. My dissertation project focuses on secular parties in the region and explores why they could not form a robust electoral alternative to the Islamist parties in the post-uprisings period. In other projects, I explore voters' responses to executive aggrandizement (focusing on Turkey), and social welfare in the context of ethnic and organizational diversity (focusing on Lebanon). Prior to PhD, I worked as an education policy analyst in Turkey, managing several research projects in collaboration with the Ministry of Education, World Bank and UNICEF. I hold a BA degree in Political Science from Boğaziçi, and Master's degrees from the LSE and Brown. 

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Journal Articles
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Subtitle
Now that a third COVID-19 vaccine has been given emergency-use authorization, Michelle Mello and colleagues ask whether individuals should be able to choose which vaccine they receive.
Journal Publisher
The New England Journal of Medicine
Authors
Michelle Mello
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Pascal Geldsetzer, PhD 
Assistant Professor of Medicine in the Division of Primary Care and Population Health

Title:  Regression Discontinuity in Electronic Health Record Data

Abstract: Regression discontinuity in electronic health record (EHR) data combines the main advantage of randomized controlled trials (causal inference without needing to adjust for confounders) with the large size, low cost, and representativeness of observational studies in routinely collected medical data. Regression discontinuity could be an important tool to help clinical medicine move away from a “one size fits all” approach because, along with the increasing size and availability of EHR data, it would allow for a rigorous examination of how treatment effects vary across highly granular patient subgroups. In addition, given the broad range of health outcomes recorded in EHR data, this design could be used to systematically test for a wide range of unexpected beneficial and adverse health effects of different treatments. I will talk about the broad motivation for this research and discuss examples from some of our ongoing work in this area. If there is time, I will also discuss some of my ongoing research on improving healthcare services for chronic conditions in low- and middle-income country settings. 

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